解耦(概率)
利用
杠杆(统计)
计算机科学
串扰
制作
纳米技术
人机交互
系统工程
材料科学
电子工程
控制工程
多通道交互
信号处理
多模态
机器人学
计算机体系结构
信号(编程语言)
嵌入式系统
人工智能
作者
Tao Wu,Yu‐Tao Li,Luyu Zhao,Yi Zhang,Zhaojie Zhang,Jian Yuan,Yiwen Wu,Anqi Che,Yuanxiao Ma,Chai Yang,Shixuan Du
标识
DOI:10.1002/adma.202521375
摘要
ABSTRACT Flexible multimodal sensors have garnered significant attention in research areas such as electronic skin, advanced robotics, and personalized health monitoring due to their ability to leverage the complementary advantages of diverse sensing units, thereby a primary decoupling strategy exploits differences in the fundamental types of signals generated. Nevertheless, flexible multimodal sensors persistently face challenges like signal crosstalk and complex integration processes, which constrain their performance. This review delineates recent advances in flexible multimodal sensor decoupling through fundamental material design guided by physical principles, structural design, and AI‐driven signal decoupling architectures. Additionally, we explore the various applications of flexible multimodal sensors, encompassing environmental monitoring, physiological health tracking, human‐machine interaction, and robotic perception. Finally, the conclusion, challenges, and future perspectives for next‐generation flexible multimodal sensing systems are discussed.
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